A machine vision system for automatically identifying and inspecting objects is disclosed, including composable vision-based recognition modules and a decision algorithm to perform the final determination on object type and quality. This vision system has been used to develop a Projectile Identification System and an Automated Tactical Ammunition Classification System. The technology can be used to create numerous other inspection and automated identification systems.

A machine vision system for automatically identifying and inspecting objects is disclosed, including composable vision-based recognition modules and a decision algorithm to perform the final determination on object type and quality. This vision system has been used to develop a Projectile Identification System and an Automated Tactical Ammunition Classification System. The technology can be used to create numerous other inspection and automated identification systems.

Methods and systems for collecting high definition images of spent firearm cartridges under different illumination conditions described herein. Features indicative of firing pin impact with each spent firearm cartridge are extracted and compared to features extracted from different spent firearm cartridges. The likelihood that the cartridges were fired from the same firearm is determined based on the differences between the extracted features. A cartridge fixture locates a spent firearm cartridge inside an imaging chamber illuminated by different combinations of illumination devices located in different locations with respect to the spent firearm cartridge. Collected images are filtered by a trained image feature filter to extract features indicative of a firing pin strike. Features extracted from different spent firearm cartridges are compared to determine the likelihood that the spent firearm cartridges were fired from the same firearm based on one or more error metrics characterizing feature differences.

Methods and systems for collecting high definition images of spent firearm cartridges under different illumination conditions described herein. Features indicative of firing pin impact with each spent firearm cartridge are extracted and compared to features extracted from different spent firearm cartridges. The likelihood that the cartridges were fired from the same firearm is determined based on the differences between the extracted features. A cartridge fixture locates a spent firearm cartridge inside an imaging chamber illuminated by different combinations of illumination devices located in different locations with respect to the spent firearm cartridge. Collected images are filtered by a trained image feature filter to extract features indicative of a firing pin strike. Features extracted from different spent firearm cartridges are compared to determine the likelihood that the spent firearm cartridges were fired from the same firearm based on one or more error metrics characterizing feature differences.

Disclosed are an organic photoelectric device including a first electrode and a second electrode facing each other and a photoelectric conversion layer between the first electrode and the second electrode, wherein the photoelectric conversion layer includes a p-type semiconductor, an n-type semiconductor, and an n-type dopant represented by Chemical Formula 1, and an image sensor and an electronic device including the same.

##STR00001##

Definitions of Chemical Formula 1 are the same as defined in the detailed description.

Disclosed are an organic photoelectric device including a first electrode and a second electrode facing each other and a photoelectric conversion layer between the first electrode and the second electrode, wherein the photoelectric conversion layer includes a p-type semiconductor, an n-type semiconductor, and an n-type dopant represented by Chemical Formula 1, and an image sensor and an electronic device including the same.

##STR00001##

Definitions of Chemical Formula 1 are the same as defined in the detailed description.

A method and device for ascertaining the temperature of a propellant charge (22) and a method and device for joining together propellant charge modules (2) to form a propellant charge (22). The method and device for ascertaining the temperature of a propellant charge (22) includes at least temporarily arranging a sensor head (4) which is movable with respect to the propellant charge (22) in a cavity (7) of the propellant charge (22); and ascertaining the temperature of the propellant charge (22) at least while the sensor head (4) is arranged in the cavity (7) of the propellant charge (22). The propellant charge modules (2) are positioned between stops (9) and are joined together by movement of at least one of the stops toward the other.

A method and device for ascertaining the temperature of a propellant charge (22) and a method and device for joining together propellant charge modules (2) to form a propellant charge (22). The method and device for ascertaining the temperature of a propellant charge (22) includes at least temporarily arranging a sensor head (4) which is movable with respect to the propellant charge (22) in a cavity (7) of the propellant charge (22); and ascertaining the temperature of the propellant charge (22) at least while the sensor head (4) is arranged in the cavity (7) of the propellant charge (22). The propellant charge modules (2) are positioned between stops (9) and are joined together by movement of at least one of the stops toward the other.

A machine vision system for automatically identifying and inspecting objects is disclosed, including composable vision-based recognition modules and a decision algorithm to perform the final determination on object type and quality. This vision system has been used to develop a Projectile Identification System and an Automated Tactical Ammunition Classification System. The technology can be used to create numerous other inspection and automated identification systems.

A machine vision system for automatically identifying and inspecting objects is disclosed, including composable vision-based recognition modules and a decision algorithm to perform the final determination on object type and quality. This vision system has been used to develop a Projectile Identification System and an Automated Tactical Ammunition Classification System. The technology can be used to create numerous other inspection and automated identification systems.